34results about How to "Protect interests" patented technology

The invention relates to a decentralized microgrid energy transaction method based on a two-way auction mechanism, and the method comprises the steps: building a local energy transaction model which is responsible for automatically completing the bidding and load scheduling task of P2P energy transaction; a decentralized electric energy transaction method is established, and tokens are used for transaction to realize information exchange of electric energy ownership; then, a simulation case of a power distribution network containing multiple micro-grids is researched, a scheduling strategy is formulated, and decentralized micro-grid energy transactions based on a two-way auction mechanism are subjected to optimization scheduling; the method has the advantages that the local energy transaction model is established, the energy consumption demand is effectively balanced, the decentralized electric energy transaction method is adopted, and the benefits of the two parties are guaranteed.

The invention discloses a logistics block chain data storage method and system. The method comprises the following steps: (1) data collection; (2) data encryption; (3) block construction; (4) a consensus mechanism; (5) data storage; and (6) data access and query. According to the method, a data index and retrieval mechanism and a query algorithm and logic are optimized, and an efficient query interface is provided, so that the data access efficiency and speed can be remarkably improved. According to the technical scheme, a user can obtain needed data more quickly, the response speed and efficiency of the whole service process are improved, measures such as data encryption, access control and identity verification are enhanced, and the safety of the data in the storage, transmission and access processes can be ensured; therefore, data leakage, tampering and unauthorized access can be prevented, benefits of enterprises and users are protected, occupation of storage space can be reduced through technical means of data compression, duplicate removal, redundancy elimination and the like, and storage cost is reduced.

The invention provides a foliage dressing method for promoting quality improvement and fruit cracking prevention of early cultivation of sweet cherries, and belongs to the technical field of sweet cherry planting management. Comprising the following steps: after autumn, ditching around sweet cherry trees and applying an organic fertilizer; a high-nitrogen macroelement water-soluble fertilizer is applied along with drip irrigation before and after germination; after flowers fall, in a young fruit period and in a fruit core hardening period, flushing calcium ammonium nitrate for 2-3 times; after flowers of the sweet cherries fall, foliar fertilizer is sprayed five times; applying potassium nitrate when the fruits turn from green to white; potassium sulfate is applied in the fruit changing from white to red; after the fruits are harvested, the balanced macroelement water-soluble fertilizer is applied by flushing for 1-2 times. According to the invention, a leaf fertilizer is set as an organic liquid chelated calcium fertilizer, a brand-new chelating technology and an acidification adsorption technology are combined, an organic chelating agent is taken as a carrier, and organic liquid chelated calcium prepared by an advanced process is adopted, so that fruits can rapidly absorb the organic liquid chelated calcium and can rapidly transfer the organic liquid chelated calcium in a plant body, and calcium contained in a part needing calcium is efficiently absorbed and utilized; the sugar can be effectively stored in fruit organs of plants.

The invention discloses an electricity market transaction rule optimization method and system based on a smart contract, and particularly relates to the technical field of electricity market transactions, and the technical key points are as follows: inputting a model training set into an initial support vector machine model to train the initial support vector machine model, and obtaining a trained support vector machine model; inputting the power market supply and demand data, the energy cost data and the influence index data at the current moment into the trained support vector machine model to obtain a market supply and demand relationship prediction result, an energy cost fluctuation prediction result and an influence adjustment direction prediction result; based on the market supply and demand relationship prediction result, the energy cost fluctuation prediction result and the influence adjustment direction prediction result, calculating a weight ratio result of a market supply and demand relationship change index, an energy cost fluctuation change index and an influence adjustment condition index by using a combined weighting method; and setting a dynamic adjustment rule according to a weight ratio result so as to optimize the power transaction information.

The invention relates to the field of data processing and financial science and technology, and discloses a user authority control method and device, equipment and a medium, and the method comprises the steps: receiving a login request of a user side, and verifying the login request according to a preset condition; if the login request passes the verification, performing permission configuration on a login account of the user according to a preset rule to obtain a user basic permission; creating an administrator role according to a preset permission set, and performing permission adjustment on the login account of the user through a preset management interface to obtain a user adjustment permission; performing data fusion on the user adjustment permission and the user basic permission by using a preset framework to obtain a user authorization permission; controlling the user authorization authority based on the administrator role; according to the invention, the intensity of user identity verification is increased, the supervision quality can be comprehensively improved, the authority supervision effect is further improved, the business demand can be responded more quickly, and the operation efficiency and the user experience are improved.

The invention provides a multi-dimensional charging method and device for computing power resources and electronic equipment, and the method comprises the steps: converting physical measurement indexes of all resource types in an original resource ticket, and obtaining a standard resource ticket; constructing a rate configuration model based on the basic unit price and the adjustment coefficient corresponding to each resource type; the adjustment coefficient is used for reflecting the resource commercial value difference of each resource type; and finally, inputting the standard resource ticket into the rate configuration model to obtain a cost result. According to the method provided by the invention, the original resource ticket of each resource type is acquired and converted into the standard resource ticket, so that unified measurement of heterogeneous resource data is realized; by constructing the rate configuration model containing the resource performance coefficient and comprehensively considering the influence of the resource type and the performance difference on the commercial value, accurate metering and charging of various intelligent computing resources are realized, the benefits of service providers and users are effectively balanced, and the standardization and high efficiency level of intelligent computing power business charging management is improved.

The utility model discloses a tire with easy-to-determine starting time and a management system. An anti-transfer electronic tag is fixed in an easy-to-wear area of the tire. The management system comprises a tire of which the starting time is easy to determine, an electronic tag identification terminal provided with a program, and an internet server provided with a program, wherein the internet server and the electronic tag identification terminal are in data interconnection; and when the electronic tag identification terminal scans the anti-transfer electronic tag, the scanning time is recorded in a management system database of the Internet server and is used for calculating the tire use time. The time difference between the time when the tire has the quality problem or the time when the tire stops using and the tire starting time is determined as the actual using time of the tire. And charging according to the actual use time of the tire. The system reduces the indirect transaction cost, is very low in direct use cost, and is suitable for large-scale popularization. The method is applied to the tire industry with huge yield and is economical and practical.

The invention discloses a wine logistics whole-process information acquisition method and system, and the method comprises the steps: setting an anti-counterfeiting code and an authentication process, sequentially including wine filling authentication, bottle sealing authentication, bottle packaging authentication, box packaging authentication, logistics information registration and bottle opening drinking authentication, and achieving the acquisition of wine logistics whole-process information through a database and a background management module. The anti-counterfeiting and security of the wine are well documented, and the counterfeiting cost is higher, so that the counterfeiting activities can be greatly reduced, and the benefits of consumers and certified wine factories are better protected.

The invention discloses a system privatization method and device, a privatization deployment system, equipment and a medium. The method is applied to a server corresponding to a first client, the first client is a client requesting a system deployment permission from a management end of a system, and the method comprises the steps of receiving a system deployment instruction sent by the management end under the condition that the management end verifies that the server meets a system deployment condition; performing private deployment on the system based on the system deployment instruction; receiving a system access request sent by a second client; in response to the system access request, using a license authentication service unit of a media service module in the system to perform system access permission verification on the second client; and under the condition that the second client passes the system access permission verification, the second client is allowed to access the system, so that the private deployment and private access of the system are realized, and the use security of the system is improved.

The invention relates to a novel quantum secret sharing method based on a Bell state. The method comprises the following steps that: firstly, a secret distributor sends a sequence of mixed Bell states and decoy particles to participants; secondly, the participants encode secret shares of the participants into corresponding Pauli operators, and the Pauli operators are applied to the received particle sequences; and finally, the participants recover the shared secret information through cooperation. And shared secret information can be obtained by executing Bell-based measurement by a secret distributor. Compared with other quantum secret sharing methods, the method has the advantages that the secret distributor does not grasp the secret share of the participant, even if the secret distributor grasp the shared secret information, the secret share of the participant cannot be deduced, and the privacy and benefits of the participant can be effectively protected. On the basis of meeting safety, a Bell state is used as a quantum carrier, and compared with an entangled state of n particles, the Bell state is easier to prepare; and meanwhile, various eavesdropping attacks can be effectively resisted. Compared with a traditional method, the method is more practical and higher in efficiency.

The invention relates to the field of mine processing, and discloses an intelligent mine processing and transportation combined optimization system, which comprises a processing and mining module, the processing and mining module comprises mine mining equipment and devices, specifically an excavator, a crusher and a drilling machine, and the mining equipment is controlled to operate to realize mining and transportation. The processing and mining module is connected with an intelligent combined control module, the intelligent combined control module serves as a core processing module of the system, the processing and mining module and the transportation module are subjected to matched optimization operation, and the intelligent combined control module is connected with the transportation module. The mining efficiency is accurately calculated by arranging the collecting and monitoring module, the control and adjustment module selects a corresponding adjustment scheme according to the efficiency condition, dynamic adjustment of the transportation module when the mining efficiency changes is achieved, the problem of congestion or road paralysis caused by too many transportation vehicles is avoided, and the mining efficiency is improved. And the stability and adaptability of the system are improved.

The present invention discloses a two-stage outsourcing service transaction method based on data encryption and blockchain, comprising the following steps: obtaining service data from the blockchain, and dividing the service data into a first data fragment and a second data fragment; sending the first data fragment to the contractor; calculating the first hash value and the second hash value of the first data fragment and the second data fragment respectively, and publishing the fusion hash value and the first hash value on the blockchain according to the first hash value and the second hash value; depositing the deposit of the contractor into the smart contract within a preset first time period; receiving transaction information; when the transaction information is confirmation information from the smart contract, sending the second data fragment to the blockchain within a preset second time period, and when the transaction information is off-chain arbitration information of the arbitrator, executing step S6; sending the service data to the arbitrator. The present invention can improve the security, transparency and integrity of data transactions.

The present invention discloses a method for dynamically optimizing tourism service quality based on tourist evaluation. The method integrates and supervises tourist evaluation statistical information in tourist attraction areas, adopts a big data analysis model to encode and fuse the information position of tourist evaluation statistical information, and evaluates service categories at the same time. The service category complaint concentration points are analyzed through service category scoring statistical data. The dynamic optimization order of service defects of service categories is calculated through the service category complaint concentration points. According to the dynamic optimization order of service defects, the tourist attraction area service adjustment steps and the tourist attraction area service defect improvement plan for the service category are generated. The method combines comprehensive information processing and dynamic optimization, which helps to improve the service quality and the efficiency of tourist attraction area services and protect the interests of tourists.

The invention relates to the technical field of big data analysis, in particular to a chemical product market analysis method and system based on big data, and the method comprises the following steps: obtaining online service data of a chemical product based on a chemical product online service platform, the online service data comprising online browsing information and transaction data of the chemical product; establishing a purchase driving force analysis model according to the browsing information and the transaction data, and analyzing the demand condition of the chemical product through the purchase driving force analysis model; constructing a product sales prospect prediction model according to the browsing information and the transaction data, and analyzing the sales condition of the chemical product by using the product sales prospect prediction model; the market status of the chemical products of the service platform is evaluated in combination with the demand status and the sales status, and price monitoring and quantity regulation and control of the chemical products are realized. The chemical product market information is analyzed based on the online service platform data, comprehensive and accurate market information is provided for platform chemical products, and chemical production and marketing strategies are achieved.

The present invention relates to the field of valve control technology, and relates to a remote-controlled intelligent valve based on charging information and a control method thereof. Prepayment information from a user is received through a wireless communication module. After the payment amount is confirmed to be correct, the intelligent control unit transmits a control instruction to a valve execution unit. The valve execution unit adjusts the opening state of the valve according to the received control instruction, thereby controlling the circulation of a fluid. The intelligent control unit updates the account balance in a user account database in real time according to the actual opening parameters of the valve, and feeds back the balance information to the user through the wireless communication module. When the user account balance is insufficient to support the next fluid circulation, the intelligent control unit automatically sends a reminder to the user, and evaluates the user based on the payment history record to obtain the user's pre-allowed fluid usage amount. When the user's pre-allowed water consumption is consumed and no new prepayment information is received, the valve is closed to stop the fluid circulation.

The application discloses a cross-industry supply chain supervision method based on multi-chain cooperation, a business sub-chain is used for recording internal information of enterprise transaction subjects and business data of various supply processes; a transaction main chain is mainly responsible for transaction implementation and interaction between different businesses, and records circulation states and transaction data of commodities at various links of the supply chain; and a supervision chain is used for supervising and auditing transaction data between different businesses of the supply chain. The application combines an identity-based encryption mechanism based on fine-grained privacy protection, protects the privacy of multi-party cooperative transaction data in the supply chain process, and solves the contradiction between the privacy of supply chain transaction data and the implementation of supervision. The application designs two verification methods of transaction types based on an aggregated signature protocol, so as to realize aggregated verification of on-chain transactions and rapid tracking of abnormal transactions, and effectively improves the performance of system supervision and traceability.

The application provides a reverse current prevention method and device of a photovoltaic power supply system, a terminal and a storage medium. The method comprises the following steps: acquiring electric energy data of a low-voltage power grid in real time; subtracting the electric energy data at a previous moment from the electric energy data at a current moment to obtain an electric energy difference; if the electric energy difference is greater than a first preset threshold, adjusting a photovoltaic inverter based on the electric energy difference to reduce the output power of the photovoltaic inverter; if the electric energy difference is greater than a second preset threshold, controlling the photovoltaic inverter to stop; and if the electric energy difference is greater than a third preset threshold, controlling a contactor to be disconnected. The first preset threshold is smaller than the second preset threshold, and the second preset threshold is smaller than the third preset threshold. Through the above scheme, the application can perform hierarchical reverse current prevention control according to the size of a local load surge, thereby improving the reverse current prevention response speed and guaranteeing the interests of photovoltaic power generation users.

An electric travel cloud management and energy efficiency optimization system disclosed by the present invention is composed of a terminal device, a cloud end, an execution device, a plurality of relays and a plurality of sockets, the terminal device comprises a master control user end and a common user end, the cloud end comprises a data management module and a data big model, and the data big model comprises a face comparison module, a face recognition module and a face recognition module. The execution device comprises a Wi-Fi module, a single-chip microcomputer, an alarm module, an electric energy meter module and a battery detection module, and the execution device comprises a wireless fidelity (Wi-Fi) module, a single-chip microcomputer, an alarm module, an electric energy meter module and a battery detection module. The terminal equipment, the cloud and the execution equipment communicate through an MQTT protocol, charging data of an authorized user of the terminal equipment is collected and transmitted to the cloud for analysis, an instruction is issued, the execution equipment operates, the charging efficiency is improved, energy consumption is optimized through a flexible pricing mechanism and an off-peak charging strategy, and the charging efficiency is improved. And convenient and safe charging service is provided for residents.

The invention discloses an aquatic product processing security management and control system based on blockchain traceability, and relates to the technical field of network security and data traceability, and the system comprises the steps that a multi-source data collection module collects processing whole-link parameters and related information, encrypts and uploads the parameters and related information, and associates an identifier; the data preprocessing and encryption module cleans standardized data, encrypts sensitive information and generates a unique identifier; the block chain traceability core module constructs an alliance chain to realize data chaining and non-tampering traceability; the intelligent safety management and control module evaluates compliance in real time and links equipment to dispose risks; the distributed data storage module adopts a hybrid architecture to guarantee data reliability; and the visual interaction and early warning module presents information and pushes early warning. According to the invention, full-chain data credible traceability is realized based on the block chain, risks are intelligently controlled and accurately identified and disposed, multi-agent collaboration is efficient, and data security is guaranteed; the method adapts to multi-scene requirements, improves processing compliance and emergency response capability, and assists in industrial safety management and control upgrading.

The invention discloses a multi-dimensional customer identification method and system based on online voice. The method comprises the following steps: pre-establishing a blacklist word library database; reading call content and collecting audio data during a call; directly converting the audio data into text data, and segmenting the text data into words and word units; converting the audio data into a character format based on the audio features and segmenting the audio data into words and word units; comparing the words with the word units based on a blacklist word library database, and obtaining blacklist incoming call numbers based on a comparison result; on-line voices of the identified non-blacklist incoming call number are screened, emotion analysis is carried out, and positive, negative and neutral emotions are identified; according to the method and the device, the number of the crank call and the number of the junk information are added into the blacklist, so that unnecessary interference and disturbance can be effectively reduced, and the working efficiency is improved.

The invention discloses an electric energy meter and metering terminal clock on-site detection method and system, and relates to the technical field of timing and synchronization, and the method comprises the steps: constructing a clock calibrator GPS-7A system, and intercepting a high-voltage signal for overload protection during data collection; an optocoupler on-off signal output by the electric energy meter is converted into a recognizable electric signal, and GPSamp is used; the Beidou receiver obtains standard time; the daily timing error of the electric energy meter and the timeout time are measured, and the high-precision local time is utilized to force the electric energy meter to synchronize with the local time for time calibration. According to the invention, benefits of an electric power department and electricity customers are ensured, a crystal oscillator and a load capacitor are matched through measurement of daily timing errors, and more accurate matching parameters are obtained; the two paths of electric energy meters are simultaneously connected, so that the test efficiency is improved, qualified products are screened more quickly, the problem that a user misconnects a 220V power supply to a test port is effectively prevented, a core circuit of equipment is fully protected, the failure rate of the equipment is practically and effectively reduced, and good use experience is provided for a user.

The invention belongs to the technical field of image processing, and particularly relates to an agricultural product growth monitoring management method, terminal equipment and a storage medium, and the method can predict the growth vigor of an agricultural product at each time node in the future according to an obtained monitoring video, and further predict the agricultural product yield at each time node in the future. Then, the client is notified to initiate subscription of agricultural products about to be produced in the future, so that the agricultural products are sold in advance; according to the method, the growth vigor of the agricultural products can be determined through the agricultural product monitoring video, the future agricultural product yield can be predicted, the agricultural products can be sold in advance, the problem that the agricultural products are rotted before sale due to the fact that the agricultural products are sold after being mature can be avoided, and the benefits of farmers can be guaranteed as much as possible.

This invention provides a risk assessment method, a risk assessment device, a computer device, and a storage medium, relating to the field of artificial intelligence. The method includes: acquiring business data and extracting information from the business data to obtain business information corresponding to each business type and multiple user nodes; establishing association information between user nodes based on the business information corresponding to each business type, and generating a multi-layer topology network based on the association information; performing network fusion on the multi-layer topology network to obtain a vector matrix corresponding to the multi-layer topology network; detecting and filtering user nodes based on the vector matrix corresponding to the multi-layer topology network to obtain target user nodes; and performing risk prediction on user node groups associated with the target user nodes to obtain risk assessment results corresponding to the user node groups. This allows for rapid and accurate detection of fraud targets, effectively curbing insurance fraud and preventing losses to company interests.

This invention discloses a D2D computation offloading optimization method and apparatus based on spectrum sharing, belonging to the field of mobile edge computing technology. It includes: constructing utility functions for demanding users, idle users, and base stations, and establishing a three-party utility optimization model; dividing the resource optimization process into three optimization sub-problems; solving the three optimization sub-problems using an inner-layer two-level game optimization algorithm under a given task offloading strategy; updating the task offloading strategy using an outer-layer offloading strategy optimization algorithm, which first uses GS stable matching to obtain the initial value of the offloading strategy, and then performs feasible improvement searches through swapping, replacing, and adding operations; cyclically solving sub-problems and updating the strategy until a preset termination condition is met, outputting the optimized task offloading strategy, channel allocation strategy, channel unit price, computational resource size, and computational resource unit price. This method can improve the comprehensive utility of demanding users, idle users, and base stations while protecting the interests of primary users, and is suitable for MEC collaborative computing and D2D offloading scenarios under spectrum scarcity conditions.

The present application is directed to the field of photovoltaic power generation technology, and provides a photovoltaic support foundation construction method, comprising the following steps: S1. Leveling the site; S2. GPS positioning: according to the requirements of the construction drawing, the micro prefabricated steel pile position of the photovoltaic component inner support foundation is positioned by GPS; S3. Piling; S4. Inclined drilling: while the air drilling machine drills the boulder, the micro prefabricated steel pile can be hit by the pile driver at any time; S5. Shifting and again inclined drilling: if there is a large-diameter boulder in front of the micro prefabricated steel pile, the air drilling machine is translated 300mm away from the pile position, and step 4 is cycled; S6. Reaching the burial depth. The present application effectively solves the situation that the micro prefabricated steel pile cannot be hit through when encountering a boulder during the hammering process, does not need to change the geological soil layer structure of the pile position, does not reduce the frictional resistance on both sides of the pile, ensures the stability of the foundation, reduces the construction difficulty, protects the interests of the owner and the contractor, and is very popular.

The invention provides a virtual power plant participation demand response method, device and equipment based on multi-target stochastic programming, and a medium, and belongs to the technical field of power markets, and the method comprises the following steps: modeling each resource in a VPP, and constructing a quantitative expression of each resource; determining each main body operated by the VPP, and constructing a multi-objective optimization function; normalizing the multi-objective optimization function to obtain a multi-objective planning function; obtaining distribution characteristic parameters and weights of internal uncertain variables of the VPP, and converting the deterministic multi-objective programming function into a multi-objective programming function containing the uncertain variables to obtain a multi-objective stochastic programming model; and solving the multi-target stochastic programming model by using a commercial solver to obtain scheduling parameters of each resource participating in demand response in the VPP. According to the method, all main body demands of the VPP are integrated through multi-target planning, normalization is simplified into a single target, the scheduling average value is solved through iteration, benefits are balanced, and the solving difficulty is reduced.

The application discloses an edge cache network user inter-content sharing incentive method based on power perception, and comprises the following steps: establishing an edge cache network scene; establishing a content sharing management system in the edge cache network; and realizing the incentive of user inter-content sharing based on power perception, which comprises the following steps: calculating the evaluation of B-type users on content and the energy consumption cost of S-type users in transmitting content; B-type users submitting their request information to a small base station, and S-type users submitting their state information to the small base station; obtaining a matching success set through a user matching algorithm; determining the final integral deduction amount of B-type users and the final integral reward amount of S-type users by using a pricing scheme; and the users in the matching success set sharing content according to the information published by the small base station. Compared with the prior art, the application can effectively encourage the sharing of content among users, take into account the interests of both buyers and sellers, and maximize social welfare as much as possible.

This invention discloses a distributed large model token counting method based on trace linking, relating to the field of large model management technology. The method involves collecting token consumption data from the previous day's data via a distributed cloud large model server, uploading this data to Kafka, and receiving and parsing the token consumption data from Kafka via a large model management center. Data from different nodes is integrated based on the trace ID to form complete request chain data. Following a hierarchical and domain-based approach, the large model management center stores user token consumption data in object storage. Finally, based on business needs, the large model management center displays relevant statistical data of message chains within a filtered region.

The invention discloses a SNP molecular marker, an amplification primer and a method for quickly identifying Jian carp varieties. The SNP molecular marker includes SNP 1 to 5; the physical position of SNP 1 is located at the 27079154th base of Chr17 chromosome, and the base is C or T; the physical position of SNP 2 is located at the 27632650th base of Chr17 chromosome, and the base is A or G; the physical position of SNP 3 is located at the 1441950th base of Chr18 chromosome, and the base is T or C; the physical position of SNP 4 is located at the 5857377th base of Chr18 chromosome, and the base is G or C; The physical position of 5 is located at the 23058224th base of the Chr14 chromosome, and its base is C or G; the SNP molecular marker of the present invention can quickly, accurately and batch identify and screen Jian carp seedlings and parents in the seedling stage and parent stage, and is particularly suitable for variety identification of small-sized fry, solving the problem of difficulty in distinguishing varieties with similar appearance.

The invention discloses a day-ahead and intra-day triggering multi-time-scale scheduling system and method for a micro-energy grid, relates to the technical field of power system scheduling, and mainly aims to solve the problems that in the prior art, due to single-time-scale optimization or power quality single-index management, the robustness of the system to uncertainty is poor, the controllability of power quality is low, and the scheduling efficiency is high. And the multi-agent cooperation efficiency is low. The system comprises a source load data prediction module, a dynamic time-of-use electricity price module, an optimization scheduling module, an electric energy quality monitoring module, a trigger scheduling module and an instruction distribution module. And a multi-time scale framework of'prediction-monitoring-scheduling-execution 'full-chain coordination is constructed, so that the robustness of the system to uncertainty, the controllability of electric energy quality and the high efficiency of multi-agent coordination are improved.